Data Engineer
2 semanas atrás
About The Role We are seeking an experienced Senior Data Engineer . You’ll work closely with our CTO, CPO, and product teams to architect, build, and deliver robust data pipelines and transformations for our always‑on AI platform. Success in this role will have a direct, measurable impact on business outcomes and future product velocity. Key Responsibilities Architect, build, and optimize scalable end‑to‑end data pipelines using dbt and our stack (Python microservices, Postgres, BigQuery, and GCP). Design, implement, and maintain ETL/ELT processes to ingest, clean, and transform large datasets from a variety of sources. Collaborate with product and engineering to define data requirements for new product features and analytics initiatives. Manage our data pipeline by onboarding new clients, loading their data, and applying all required formulas. Maintain and troubleshoot workflows by fixing broken formulas, adding new services, and ensuring reliable, high‑throughput performance. Ensure data reliability, integrity, and security at scale. Troubleshoot, performance‑tune, and document all pipelines and data workflows for smooth handoff. About You 5+ years of hands‑on experience building production‑grade data pipelines, ETL/ELT workflows, and transformed datasets at scale. Expert‑level Python; strong experience with dbt, Postgres, BigQuery, and core GCP data services (e.g., Dataflow, Pub/Sub, Storage, Composer). Demonstrated experience architecting, optimizing, and troubleshooting cloud‑based data infrastructure. Familiarity with analytics, BI tools, and data visualization platforms is a plus. Startup or contract/consulting experience strongly preferred; you move quickly and commit to clear deliverables and deadlines. Excellent communication skills: you read requirements carefully, keep stakeholders looped in, and document as you go. You can boil down complex tasks into plain English for non‑data engineers to understand. Low‑ego, high‑ownership, and passionate about building product‑focused solutions. Seniority Level Mid‑Senior level Employment Type Full‑time Job Function Information Technology Industries Advertising Services #J-18808-Ljbffr
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Data Engineer – Databricks | Azure
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Rio de Janeiro, Brasil GraceMark Solutions Tempo inteiroHello! We currently have a great job opportunity for you! About the role: Role: Data Engineer Location: São Paulo, Brazil Duration: 6 months Salary: $ 2200 USD monthly (FTE) We’re looking for a Data Engineer with backend experience to join a high-impact engineering team building large-scale user-facing products. What You’ll Do - Build and...
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Rio de Janeiro, Brasil Insight Global Tempo inteiroPosition: Data Engineer Location: Remote in BrazilDuration: 3 year+ PJ ContractMonthly Salary Range: 3-5k USD/MonthRequirements:3+ years of experience in Data EngineeringHands on data engineering experience with Microsoft Fabric (highly preferred) or Azure Synapse/Databricks are also acceptableAdvanced Data Manipulation experience using SQL, Pandas, and...
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Rio De Janeiro, Brasil Tata Consultancy Services Tempo inteiroCome to one of the biggest IT Services companies in the world Here you can transform your career Why to join TCS? Here at TCS we believe that people make the difference, that's why we live a culture of unlimited learning full of opportunities for improvement and mutual development. The ideal scenario to expand ideas through the right tools, contributing to...
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Rio de Janeiro, Brasil beBeeData Tempo inteiroSenior Data Engineer Position As a Senior Data Engineer, you will play a key role in designing and building scalable data pipelines and ingestion processes that support analytics and AI use cases. You will collaborate with analytics, AI/Data Science, and product teams to understand data requirements and SLAs. Key Responsibilities: Design, build, and maintain...
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Data Engineer
2 semanas atrás
Rio de Janeiro, Rio de Janeiro, Brasil Blue Orange Digital Tempo inteiro US$6.825 - US$8.350Company overview:Blue Orange Digital is a boutique data & AI consultancy that delivers enterprise-grade results. We design and build modern data platforms, analytics, and ML/AI Agent solutions for mid‑market and enterprise clients across Private Equity, Financial Services, Healthcare, and Retail. Our teams work with technologies like Databricks, Snowflake,...